Scientist III – Computational Biology, Bioinformatics

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🔥 7 minutes ago

🦌 Connecticut – Remote

🦌 Connecticut – Remote

⏳ Contract/Temporary

🟢 Junior

👻 Ghost score 10%

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Sigma Systems

WebsiteLinkedInAll Job Openings

201 - 500 employees

📡 Telecommunications

⚡ Energy

☁️ SaaS

💰 $11M Venture Round - Tribold on 2009-01

Telecommunications • Energy • SaaS

Sigma Systems is a software company that provides cloud-native, API-driven BSS/OSS, product catalog, CPQ and order orchestration solutions for communications service providers and energy/utilities companies. It offers modular, TMF-compliant components and managed services — including AI-enabled automation and data-driven tools — to help operators modernize billing, monetization, and customer fulfillment processes with a SaaS and cloud-focused delivery model.

📋 Description

• Design, implement, and deploy NGS data analysis workflows for therapeutic target identification and disease biomarker discovery • Analyze and interpret bulk RNA-seq, single-cell RNA-seq, and ATAC-seq genomic datasets • Develop and apply bioinformatics methods for functional genomics, statistical analysis, and multi-omics data integration • Process, integrate, visualize, and mine complex datasets from internal, collaborative, and public databases • Identify potential drug discovery targets, disease biomarkers, and downstream biological effects relevant to immunological diseases • Select, evaluate, and benchmark computational methods and tools • Define and perform quality control measures • Develop innovative analytical approaches for scientific challenges • Automate data processing, analysis workflows, results reporting, and delivery • Develop and maintain documented, reproducible code • Use R Shiny and D3 to communicate complex analytical findings • Collaborate with computational biologists and multidisciplinary research teams • Interpret experimental results, recommend follow-up analyses, and propose new investigations • Review scientific literature on emerging computational methods, tools, and best practices • Present analytical results and scientific interpretations to colleagues, collaborators, and stakeholders • Contribute to protocols, SOPs, technical reports, and scientific documentation • Maintain accurate records and uphold data integrity, ethical standards, and regulatory requirements

🎯 Requirements

• Master's degree from an accredited institution in a relevant scientific discipline, such as Bioinformatics, Computational Biology, Computer Science, Genomics, Biostatistics, or a related scientific or STEM discipline • At least 1 year of relevant experience with a master's degree, or a bachelor's degree in a STEM discipline with at least 7 years of relevant experience • Strong scientific understanding and hands-on experience in bioinformatics • Experience analyzing next-generation sequencing (NGS), functional genomics, large-scale genomic datasets, or multi-omics data • Experience analyzing bulk RNA sequencing (RNA-seq), single-cell RNA sequencing (scRNA-seq), or ATAC sequencing (ATAC-seq) • Strong programming skills in Python and/or R • Experience working with Unix/Linux environments and Bash shell scripting • Knowledge of computational methods for NGS analysis and familiarity with public bioinformatics databases and genomic data formats • Experience with statistical analysis, data processing, visualization, and interpretation of complex biological datasets • Familiarity with relevant R/Bioconductor packages and computational biology tools • Ability to develop well-structured, documented, and reproducible code • Strong analytical, troubleshooting, and problem-solving skills • Excellent written and verbal communication skills • Ability to work independently and collaboratively in a multidisciplinary scientific environment • Preferred: experience in pharmaceutical research, drug discovery, or immunological disease research • Preferred: background in immunology, inflammation, immune responses, or related biological research • Preferred: experience with multi-omics data integration and interpretation • Preferred: familiarity with workflow orchestration and pipeline development tools, including Nextflow • Preferred: experience with data visualization technologies, including R Shiny and D3 • Preferred: experience with cloud computing environments and large-scale data analysis • Preferred: knowledge of public genomic and bioinformatics databases and resources • Preferred: experience with automated reporting, workflow optimization, and computational quality control • Preferred: ability to interpret experimental findings and translate complex genomic analyses into actionable scientific recommendations

🏖️ Benefits

• 12-Month Contract • Remote work arrangement

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